利用Hough变换实现目标检测与航迹启动
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Application of Hough Transform to Target Detection and Track Initiation
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    摘要:

    经典的目标检测方法是Bayes方法, 通常为门限检测。本文将利用Hough变换推导一种通过非相参积累实现目标检测和航迹启动的方法。针对目标的信噪比不同的情况, 讨论了两种非相参积累形式, 一种是直接积累, 另一种是二值积累。二值积累在检测微弱目标时有独特的优越性。本文还讨论了两种非相参积累方法的理论检测性能。

    Abstract:

    Typical method of target detection is Bayesian method which is usually applied to threshold detection. In this paper, we discuss a method for simultaneous target detection and tracking based on Hough Transformation by means of incoherent integration. As to the situation of return signals with different signal to noise ratio (SNR), we discuss two forms of incoherent integration, direct integration and binary integration. Binary integration has its unique advantage in weak target detection. Theoretical performance analysis is also presented in the paper.

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程洪玮,孙仲康.利用Hough变换实现目标检测与航迹启动. Application of Hough Transform to Target Detection and Track Initiation[J].国防科技大学学报,1998,20(4):53-58.

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  • 收稿日期:1997-09-29
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  • 在线发布日期: 2014-01-03
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